Evidence map›Paper›PMID 41717635›Full record

ArticleCase reports in dentistry2026

Dentoalveolar Complex Autotransplantation in Esthetic Zone Rehabilitation: A Case Report.

Gurgen V Khachatrian, Jaime L Lozada, Robert A Handysides, Ekaterina A Zernitckaia

Abstract read
In one paragraph

Article in Case reports in dentistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gurgen V KhachatrianPrivate Practice, Tomsk, Russia.ORCID https://orcid.org/0000-0003-2800-7522
Jaime L LozadaAdvanced Education Program in Implant Dentistry, Loma Linda University School of Dentistry, Loma Linda, California, USA, llu.edu.ORCID https://orcid.org/0000-0003-0547-673X
Robert A HandysidesDepartment of Endodontics, Loma Linda University School of Dentistry, Loma Linda, California, USA, llu.edu.ORCID https://orcid.org/0000-0002-3020-5176
Ekaterina A ZernitckaiaImplant Dentistry, Loma Linda University School of Dentistry, Loma Linda, California, USA, llu.edu.ORCID https://orcid.org/0000-0002-3819-693X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tooth autotransplantation is a biologically favorable option for the replacement of missing teeth and has demonstrated predictable outcomes with both immature and mature donor teeth. In challenging anterior maxillary defects, digitally assisted variations of the technique may expand treatment possibilities and offer an alternative to conventional bone augmentation in selected cases. This article presents a digital and clinical workflow for dentoalveolar complex (DAC) autotransplantation in anterior maxillary reconstruction. The reported case involves transplantation of a donor tooth together with its surrounding alveolar bone segment to compensate for a severe site deficiency. Virtual planning, guided osteotomy, and 3D-printed replicas were used to optimize donor tooth assessment, recipient site preparation, and extraoral handling efficiency. These digital tools facilitated accurate positioning of the DAC and improved procedural predictability. The case demonstrated uneventful healing, preservation of soft and hard tissue contours, and no clinical signs of ankylosis or significant replacement resorption during follow-up. This report suggests that digitally guided DAC autotransplantation may represent a viable treatment option for selected anterior defects where conventional approaches, including bone grafting or implant therapy, present biological or anatomical limitations.

Identifiers

PMID41717635
PMCPMC12914588

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.